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Java Data Engineer Jobs in Los Angeles, CA (NOW HIRING)

Adapt Talent

Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

Strong programming skills, master one or several mainstream programming languages, such as Java, Python, Go. * Familiar with streaming/batch data processing framework such as Kafka Streaming, Flink ...

SynergisticIT

Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

Dashboard design, KPI reporting, automation Data Engineering Track ... Python/Java, Spark, Airflow, Databricks * ETL architecture, Snowflake, S3, BigQuery, Redshift

KBR

Data Engineer

Camarillo, CA · On-site

$116.80K - $140.30K/yr

... Java, Scala, etc.). * Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming ...

KBR

Data Engineer

Camarillo, CA

$116.80K - $140.30K/yr

... Java, Scala, etc.). * Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming ...

KBR, Inc.

Data Engineer

Camarillo, CA · On-site

$116.80K - $140.30K/yr

... Java, Scala, etc.). * Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming ...

Kaav Inc.

Senior Data Engineer

Los Angeles, CA · Hybrid

$114.20K - $155.20K/yr

Python, Java) * Strong understanding of SQL (e.g. Redshift, Snowflake, RDS) and NoSQL databases (e ... data engineering. * Strong problem-solving skills and a proactive approach to identifying and ...

ClifyX

Data Engineer AWS

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

Data Analyst With Amazon Web Services (AWS) Exp. Location: LA, CA Position: Contract/FTE ... Java, Scala, NodeJs)

COVU, Inc

Data Engineer

Los Angeles, CA · On-site +1

$123.40K - $148.20K/yr

You will work directly with our Lead Data Engineer to transform complex insurance logic into ... Ability to read/understand Java or SQL-based ETLs to help migrate them into our new Python ...

Planet DDS

Data Engineer V

Irvine, CA · On-site

$142K - $180K/yr

Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java). * Deep experience designing and building data pipelines using tools such as Apache Spark, Airflow, dbt ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ... Python , Java, C++, Scala, etc * Working SQL knowledge and experience working with relational ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123.40K - $148.20K/yr

Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and ... Python , Java, C++, Scala, etc * Working SQL knowledge and experience working with relational ...

Planet

Data Engineer V

Irvine, CA · On-site

$122.90K - $147.60K/yr

Expert-level proficiency in SQL and at least one programming language (Python, Scala, or Java). * Deep experience designing and building data pipelines using tools such as Apache Spark, Airflow, dbt ...

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Java Data Engineer information

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$28

$65

$91

How much do java data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for java data engineer in Los Angeles, CA is $65.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java Data Engineer, and why are they important?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are popular job titles related to Java Data Engineer jobs in Los Angeles, CA? For Java Data Engineer jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Los Angeles, CA look for? The top searched job categories for Java Data Engineer jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Java Data Engineer jobs? Cities near Los Angeles, CA with the most Java Data Engineer job openings:
Java Data Engineer jobs near you

Data Engineer

Adapt Talent

Los Angeles, CA • On-site

$123.40K - $148.20K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Pipeline Engineer

ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies. Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Resso, Helo, Douyin, and Huoshan.

Our group is in charge of developing industrial, commercialized, enterprise-level solutions and products, to meet business requirements in various scenarios, such as Network Infrastructure Construction, System and Application Management, Large-scale Asset Management, Front-desk Service, Audio/Video Broadcasting Service, Server/Conference Room Intelligent Operation, Enterprise Administration, etc.

Taking advantage of cutting-edge big data and AI technologies, we are aiming at building a more automated and intelligent enterprise solution infrastructure.

Preferred location: Mountain View, CA / Los Angeles, CA / Seattle, WA

And, you are responsible for:

  • Design, construct, test and maintain robust, reliable, and scalable data pipeline infrastructure;
  • Investigate and integrate up-and-coming big data technologies into existing requirements;
  • Recommend different ways to constantly improve data reliability and quality;
  • Install/update system and component fault-tolerant procedures;
  • Employ an array of technological tools to integrate with 3rd-party data systems;
  • Collaborate team members (e.g., data architects, data scientists) on the project's goals.

Qualifications:

  • B.S. in Computer Science or equivalent experience, M.S./Ph. D. a plus.
  • Strong programming skills, master one or several mainstream programming languages, such as Java, Python, Go.
  • Familiar with streaming/batch data processing framework such as Kafka Streaming, Flink, Spark.
  • Familiar with big data open-source tools such as Kafka, ElasticSearch, Redis, Hbase, Druid etc.
  • Able to troubleshoot system-level integration and performance issues.
  • Fast learner and eager to absorb new emerging technologies, and enjoy working with other team members with strong collaboration and communication skills.
  • Experience with Cloud platforms such as GCP and AWS is a plus.
  • Experience with Docker & Kubernetes ecosystems is a plus.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We believe individuals shouldn't be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too.

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